Articles about 'Cancer Research UK Cambridge Centre'

Leaders in fields from chemistry to cancer research and computing are among the Cambridge academics recognised today.

The Tessa Jowell Brain Cancer Mission (TJBCM) has awarded six new centres excellence status including the East of England service (Cambridge University Hospitals, Norfolk and Norwich University Hospital and Ipswich Hospital).

Patients who are at a higher risk of their lung cancer returning can be identified by a personalised blood test that is performed after treatment, according to researchers at the University of Cambridge.

Cambridge scientists are set to receive a major cash injection from Cancer Research UK.

GE Healthcare, the University of Cambridge and Cambridge University Hospitals have agreed to collaborate on developing an application aiming to improve cancer care, with Cambridge providing clinical expertise and data to support GE Healthcare’s development and evaluation of an AI-enhanced application that integrates cancer patient data from multiple sources into a single interface.

Abnormal cells that develop into oesophageal cancer – cancer that affects the tube connecting the mouth and stomach – start life as cells of the stomach, according to scientists at the University of Cambridge.

Artificial intelligence ‘deep learning’ techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer, potentially leading to faster and earlier diagnoses, say researchers at the University of Cambridge.

A new advanced computing technique using routine medical scans to enable doctors to take fewer, more accurate tumour biopsies, has been developed by cancer researchers at the University of Cambridge. This is an important step towards precision tissue sampling for cancer patients to help select the best treatment. In future the technique could even replace clinical biopsies with ‘virtual biopsies’, sparing patients invasive procedures.

Doctors at Addenbrooke’s Hospital in Cambridge aim to drastically cut cancer waiting times by using artificial intelligence (AI) to automate lengthy radiotherapy preparations.

Imaging techniques could replace the need for invasive tissue biopsies in helping rapidly determine whether cancer treatments are working effectively, according to researchers at the University of Cambridge.